TECHNOLOGIES FOR INDIAN LANGUAGES: SOLVING REAL PROBLEMS OF REAL PEOPLE
IEEE MEFGI STUDENT BRANCH
The talk covered the following technologies developed by MILE Lab for Tamil and Kannada: Text-to-speech conversion, printed text recognition, open vocabulary online handwriting recognition, Indic Keyboard IME for inputting most Indian languages on Windows, Linux and Android platforms and text extraction from camera captured scene images of display boards, road signs, etc. The technical challenges, the effort and enthusiasm necessary and systematic planning and data collection involved in developing these technologies were briefly covered. Some of these technologies were also briefly demonstrated. Finally, commitment of researchers towards developing realistic, multilingual speech recognition technology, called “Machine Listening” was covered. Machine listening is aimed at “listening with attention” to realistic human speech, involving more than one language (eg. Tamil and English), man-made non-speech sounds such as laugh, cough, humming, sneeze and throat clearing and environmental noise. Finally, the talk covered ongoing work on deep learning-based image super resolution and automated speech recognition for Tamil and
Sanskrit.
Date and Time
Location
Hosts
Registration
- Date: 27 Jan 2018
- Time: 10:00 AM to 01:00 PM
- All times are (GMT+05:30) Asia/Calcutta
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- RAjkot Morbi Highway
- Gauridad
- Rajkot, Gujarat
- India 360003
- Building: Main Building
- Room Number: MC501, Seminar Hall
- Contact Event Host
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tapankumar.trivedi.1986@ieee.org
- Co-sponsored by MEFGI
Speakers
Prof A G Ramakrishnan of Indian Institute of Science, Bangalore
TECHNOLOGIES FOR INDIAN LANGUAGES: SOLVING REAL PROBLEMS OF REAL PEOPLE
Professor and Chairman
Department of Electrical Engineering
Indian Institute of Science
Bangalore - 560012, India
Biography:
Dr. Angarai Ganesan Ramakrishnan is a Professor of Electrical Engineering at Indian Institute of Science, Bangalore, India. He received the Manthan Award 2014 for his project, Gift of New Abilities. Prof. Ramakrishnan is a graduate of PSG College of Technology. He obtained his M Tech (Electrical Engineering) and Ph D (Biomedical Engineering) from the Indian Institute of Technology Madras. Currently, he heads the Medical intelligence and language engineering lab at the Department of Electrical Engineering, Indian Institute of Science, Bangalore. He is a Fellow of Institution of Engineers (India) and Institution of Electronics and Telecommunication Engineers and a Senior Member of Institute of Electrical and Electronics Engineers, USA. His research areas are speech processing, Speech synthesis, Optical character recognition, Handwriting recognition, Machine listening and Pattern recognition. He was interviewed by Bhasha India for his contributions to Indic computing.
Address:Department of Electrical Engineering, Indian Institute of Science, Bangalore, Karnataka, India, 560012
Agenda
The agenda of the meeting was to discuss possible trends and work in the image processings, speech processings, and machine learning for indian languages.
INDUSTRIAL APPLICATION SOCIETY